13 citations · 17 across the 3 of their papers we have counts for
4 papers
LSTM-based Anomaly Detection for Non-linear Dynamical System
Yue Tan, Chunjing Hu, Kuan Zhang +3
Anomaly detection for non-linear dynamical system plays an important role in ensuring the system stability. However, it is usually complex and has to be solved by large-scale simul…
Dynamic Energy Dispatch Based on Deep Reinforcement Learning in IoT-Driven Smart Isolated Microgrids
Lei Lei, Yue Tan, Glenn Dahlenburg +2
Microgrids (MGs) are small, local power grids that can operate independently from the larger utility grid. Combined with the Internet of Things (IoT), a smart MG can leverage the s…
Deep Reinforcement Learning for Autonomous Internet of Things: Model, Applications and Challenges
Lei Lei, Yue Tan, Kan Zheng +4
The Internet of Things (IoT) extends the Internet connectivity into billions of IoT devices around the world, where the IoT devices collect and share information to reflect status…
An In-Vehicle KWS System with Multi-Source Fusion for Vehicle Applications
Yue Tan, Kan Zheng, Lei Lei
In order to maximize detection precision rate as well as the recall rate, this paper proposes an in-vehicle multi-source fusion scheme in Keyword Spotting (KWS) System for vehicle…